Recent advances in document summarization
Recent advances in document summarization
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DOI：
10.1007/s10115-017-1042-4
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发表时间：
2017-11
影响因子：
2.7
通讯作者：
Jin-ge Yao;Xiaojun Wan;Jianguo Xiao
中科院分区：
文献类型：
--
作者：
Jin-ge Yao;Xiaojun Wan;Jianguo Xiao
自动摘要的任务是为原来很长的文档生成简短的摘要。一份好的摘要应涵盖原始文件或一组文件中最重要的信息，同时要连贯一致、无冗余和语法上可读。迄今为止，已经开发了许多自动摘要的方法。在本文中，我们给出了一个独立的，广泛的概述最近取得的进展，在过去5年的文件摘要。具体来说，我们强调近年来代表最先进的文档摘要的重要贡献，包括现代句子提取方法的进展，提高概念覆盖率，信息多样性和内容一致性，以及集成句子压缩的摘要框架的尝试，以及能够产生全新句子的更抽象的系统。此外，我们审查的领域，流派和应用程序，是不同于传统的设置文档摘要所取得的进展。我们还指出了一些最新的趋势，并强调了一些可能的未来方向。
The task of automatic document summarization aims at generating short summaries for originally long documents. A good summary should cover the most important information of the original document or a cluster of documents, while being coherent, non-redundant and grammatically readable. Numerous approaches for automatic summarization have been developed to date. In this paper we give a self-contained, broad overview of recent progress made for document summarization within the last 5 years. Specifically, we emphasize on significant contributions made in recent years that represent the state-of-the-art of document summarization, including progress on modern sentence extraction approaches that improve concept coverage, information diversity and content coherence, as well as attempts from summarization frameworks that integrate sentence compression, and more abstractive systems that are able to produce completely new sentences. In addition, we review progress made for document summarization in domains, genres and applications that are different from traditional settings. We also point out some of the latest trends and highlight a few possible future directions.